Name
Title | ||
|---|---|---|
RANKS: a flexible tool for node label ranking and classification in biological networks. |
Abstract | ||
|---|---|---|
RANKS is a flexible software package that can be easily applied to any bioinformatics task formalizable as ranking of nodes with respect to a property given as a label, such as automated protein function prediction, gene disease prioritization and drug repositioning. To this end RANKS provides an efficient and easy-to-use implementation of kernelized score functions, a semi-supervised algorithmic scheme embedding both local and global learning strategies for the analysis of biomolecular networks. To facilitate comparative assessment, baseline network-based methods, e.g. label propagation and random walk algorithms, have also been implemented. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1093/bioinformatics/btw235 | BIOINFORMATICS |
Field | DocType | Volume |
Probability and statistics,Data mining,Embedding,Ranking,Biological network,Computer science,Computational mathematics,Prioritization,Software,Bioinformatics,Protein function prediction | Journal | 32 |
Issue | ISSN | Citations |
18 | 1367-4803 | 7 |
PageRank | References | Authors |
0.52 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giorgio Valentini | 1 | 905 | 56.70 |
| Giuliano Armano | 2 | 325 | 42.89 |
| Marco Frasca | 3 | 56 | 5.35 |
| Jianyi Lin | 4 | 330 | 22.45 |
| Marco Mesiti | 5 | 830 | 72.53 |
| Matteo Ré | 6 | 164 | 11.62 |